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Clinical study |

The metabolic syndrome, diabetes, and subclinicalatherosclerosis assessed by coronary calcium FREE

Nathan D Wong, PhD, FACC; Maria G Sciammarella, MD; Donna Polk, MD, MPH; Amy Gallagher, MPH; Lisa Miranda-Peats, MPH; Brian Whitcomb, BS; Rory Hachamovitch, MD, FACC; John D Friedman, MD, FACC; Sean Hayes, MD; Daniel S Berman, MD, FACC
[+] Author Information

This study was supported by a grant from the Jane and Michael Eisner Foundation.George Beller, MD, acted as the Guest Editor for this paper.Reprint requests and correspondence: Dr. Daniel S. Berman, Department of Imaging, Cedars-Sinai Medical Center, 8700 Beverly Building, Room A041, Los Angeles, California 90048, USA.

American College of Cardiology Foundation

J Am Coll Cardiol. 2003;41(9):1547-1553. doi:10.1016/S0735-1097(03)00193-1
Published online

Objectives  We compared the prevalence and extent of coronary artery calcium (CAC) among persons with the metabolic syndrome (MetS), diabetes, and neither condition.

Background  The prevalence and extent of CAC has not been compared among those with MetS, diabetes, or neither condition.

Methods  Of 1,823 persons (36% female) age 20 to 79 years who had screening for CAC by computed tomography, 279 had MetS, 150 had diabetes, and the remainder (n = 1,394) had neither condition. Metabolic syndrome was defined with ≥3 of the following: body mass index ≥30 kg/m2; high-density lipoprotein cholesterol <40 mg/dl if male or <50 mg/dl if female; triglycerides ≥150 mg/dl; blood pressure ≥130/85 mm Hg or on treatment; or fasting glucose 110 to 125 mg/dl. The prevalence and odds of any and significant (≥75th percentile) CAC among these groups and by number of MetS risk factors were determined.

Results  Those with neither MetS nor diabetes, MetS, or diabetes had a prevalence of CAC of 53.5%, 58.8%, and 75.3% (p < 0.001), respectively, among men and 37.6%, 50.8%, and 52.6% (p < 0.001), respectively, among women. Coronary artery calcium increased by the number (0 to 5) of MetS risk factors (from 34.0% to 58.3%) (p < 0.001). Forty-one percent of subjects with MetS had either a >20% 10-year risk of CHD or CAC ≥75th percentile for age and gender. Risk factor-adjusted odds for the presence of CAC were 1.40 (95% confidence interval [CI] 1.05 to 1.87) among those with MetS and 1.67 (95% CI 1.12 to 2.50) among those with diabetes, versus those with neither condition.

Conclusions  Those with MetS or diabetes have an increased likelihood of CAC compared with those having neither condition.

Figures in this Article
ATP

Adult Treatment Panel

BMI

body mass index

CAC

coronary artery calcium

CHD

coronary heart disease

CI

confidence interval

HDL

high-density lipoprotein

HU

Hounsfield units

LDL

low-density lipoprotein

MetS

metabolic syndrome

NCEP

National Cholesterol Education Program

OR

odds ratio

The metabolic syndrome (MetS) is characterized by insulin resistance and a clustering of cardiovascular risk factors that includes: hypertension; obesity; hypertriglyceridemia; the presence of small, dense low-density lipoprotein (LDL); a low level of high-density lipoprotein (HDL) cholesterol; and hypercoagulabity (1). Metabolic syndrome has also contributed greatly to the worldwide epidemic of type 2 diabetes. The final products of this syndrome are endothelial dysfunction, atherosclerosis, and cardiovascular disease (2). It has recently been estimated that about 47 million U.S. residents have MetS (including those with diabetes), corresponding to 22% of men and 24% of women age 20 years and above (3). In addition, it has been demonstrated that individuals with this condition are at a three-fold greater risk of coronary heart disease (CHD) and stroke, and more than a five-fold greater risk of cardiovascular mortality (4). In addition, MetS has recently been shown to be related to an increased risk of subclinical ischemic heart disease, as determined by resting electrocardiogram criteria (5). There have been no published reports examining the relation of MetS to subclinical coronary atherosclerosis among middle-age men and women without clinically documented CHD. Studies involving assessment of coronary artery calcium (CAC), an indicator of the presence and burden of atherosclerosis, have previously shown the prevalence of CAC to be significant in persons with diabetes (67), and that CAC is highly sensitive for detecting those with clinical coronary disease among persons with type 1 diabetes (6). In large samples of primarily nondiabetic high-risk asymptomatic individuals, a relation of higher levels of CAC to future risks of CHD events has been widely reported (811), although the magnitude of risk associated with a given level of CAC remains controversial.

In this report, we examine the prevalence of CAC, an indicator of subclinical coronary atherosclerosis, among persons with MetS (but without diabetes), diabetes, and neither condition. The comparative likelihood of more advanced disease as evidenced by higher levels of CAC was also explored among the groups studied.

We examined clinical characteristics of 1,823 persons age 20 to 79 years, free of known clinical CHD, who underwent CAC scanning by an Imatron C-150 (Imatron Inc., South San Francisco, California) electron beam tomographic scanner during 1999 to 2001 at Cedars-Sinai Medical Center. Subjects were self-referred, referred by their physician, or recruited as part of ongoing research protocols. The current study was approved by the Cedars-Sinai Medical Center Institutional Review Board (IRB #3354). The imaging protocol involved an experienced licensed radiologic technician acquiring a single scan on each patient, consisting of approximately 30 to 40 3-mm slices sufficient to scan the entire heart, done at 50% electrocardiogram triggering in an attempt to minimize motion artifact. Breath-holding instructions were also given to minimize misregistration. Foci of coronary artery calcification were identified and scored by an experienced technician, using semiautomatic commercial software (ScImage, Inc., Los Altos, California), and the scoring was verified by an imaging cardiologist. The software initially calculated lesion-specific scores as the product of the area of each calcified focus and peak computerized tomography number (scored as 1 if 131 to 199 Hounsfield units [HU], 2 if 200 to 299 HU, 3 if 300 to 399 HU, and 4 if 400 HU or greater). These were summed across all lesions identified within left main, left anterior descending, left circumflex, and right coronary arteries to provide arterial-specific calcium scores, and across arteries to provide a total Agatston calcium score used for analysis in this report (10).

A fasting lipid profile (total cholesterol, HDL cholesterol, and triglycerides, with calculated LDL cholesterol) plus glucose was performed on each study participant by a Cholestech (Hayward, California) desktop chemical analyzer. Two readings of blood pressure (with mean systolic and diastolic readings used for analysis) and weight and height for calculation of body mass index (BMI) (weight in kg/height squared in meters) were also obtained at the same visit. A brief medical history to assess prior history of cardiac disease, diabetes, and medication usage was also taken. Diabetes was defined as a self-reported history of being told by a physician that diabetes was present or having a fasting glucose of 126 mg/dl or greater.

The presence of MetS was determined by criteria as defined by the Third Adult Treatment Panel (ATP) of the National Cholesterol Education Program (NCEP) 1, modified to use BMI instead of waist circumference cutpoints. Therefore, this required subjects to have three of the following criteria: 1) BMI of 30 kg/m2 or greater (in lieu of using ATP waist circumference cutpoints, as waist circumference measures were not available in our study sample); 2) serum triglycerides of at least 150 mg/dl; 3) HDL cholesterol levels of <40 mg/dl in men and <50 mg/dl in women; 4) impaired fasting glucose of 110 to 125 mg/dl; or 5) blood pressure of at least 130/85 mm Hg or treated hypertension. A recently published analysis of the Third National Health and Nutrition Examination Survey showed a high concordance of obesity at or above our BMI cutpoint and a high waist circumference as defined by NCEP III criteria (12), lending support to the validity of our measure.

Initially, age, gender, and risk factor distributions were compared among those without disease, those defined with the MetS, and those with diabetes, using the chi-square test of proportions for categorical risk factors and analysis of covariance (adjusted for age and gender) for comparing levels of continuous risk factors. The prevalence of coronary calcium (percent with positive scores >0), as well as the prevalence of coronary calcium at or above the 75th percentile for age and gender (as determined by data on a large sample of men and women programmed into the ScImage database) (13), were compared between disease groups, as well as by number of metabolic risk factors as described above (0 to 5). The 75th percentile has been suggested as a criterion for significant coronary calcium warranting more aggressive risk factor intervention (14). We also examined the proportion of individuals with MetS who achieved a >20% estimated 10-year risk of CHD based on Framingham risk score algorithms (1) or CAC ≥75th percentile as another means to estimate the proportion of such subjects that may warrant aggressive risk factor modification. Logistic regression presented the odds of CAC (any CAC and CAC at or above the 75th percentile to indicate significant CAC) in those with MetS or diabetes in comparison to those with neither condition (with 95% confidence interval [CI] also presented), initially age- and gender-adjusted, and then adjusted additionally for total cholesterol, reported cholesterol-lowering medication (because of its relation to both disease status and CAC), and cigarette smoking (because other risk factors such as HDL cholesterol and systolic blood pressure were included in the definition of MetS, they were not adjusted for in these models). Separate models were also run where subjects classified as having neither MetS nor diabetes, but who had two MetS risk factors and indicated they were on lipid-lowering therapy, were censored (n = 96, of which 68 were positive for CAC); these individuals were among those most likely to have been classified as having MetS had they not been on lipid-lowering therapy.

In our study, 279 persons (15%) were defined as having MetS and 150 persons (8%) met the definition for diabetes out of the total sample of 1,823 persons. (Table le1)shows a significant difference in all coronary risk factors between those without disease, those with MetS, and those with diabetes. Those with MetS were less likely to be women (24%); were younger (mean age 52.7 years) compared with the other groups; had the highest levels of BMI (mean 30.2 kg/m2), triglycerides (mean 238.5 mg/dl), total cholesterol (mean 215.8 mg/dl), and diastolic blood pressure (mean 82.2 mm Hg); and had the lowest levels of HDL cholesterol (39.5 mg/dl). In those with MetS, systolic blood pressure (mean 142.9 mm Hg) was similar to those with diabetes, but significantly higher (p < 0.0001) than in those with neither condition.

Table Grahic Jump Location
Table 1Prevalence and Mean (SD) Levels of Baseline Characteristics by Presence of Metabolic Syndrome, Diabetes, or Neither Condition (n = 1,823)
Table Footer Note*Adjusted for age and gender.

Overall, 57% of persons with the MetS had coronary calcium, compared with 67% of those with diabetes and 47% of those with neither condition (p < 0.0001). The prevalence of CAC in women with MetS was 51%, similar to those with diabetes (53%), but higher than those with neither condition (38%) (p = 0.02). In men, the prevalence of CAC in those with MetS was 58%, compared with 75% in those with diabetes and 54% in those with neither condition (p = 0.0007) (Figure 1). Among men, 25% of those with MetS had CAC at or above the 75th percentile, compared with 41% of those with diabetes and 21% of those with neither condition (p < 0.0001). For women, these figures were 25%, 30%, and 20%, respectively (p = 0.21) (Figure 1). There was also a graded association between the prevalence of CAC and the number of metabolic risk factors (excluding persons with diabetes) (Figure 2). Coronary artery calcium prevalence ranged from 34% in those without any metabolic risk factors to 50%, 56%, 54%, 63%, and 58% in those with one, two, three, four, and five metabolic risk factors, respectively (trend p < 0.001). For the prevalence of CAC ≥75th percentile, the respective figures were 15%, 22%, 24%, 23%, 33%, and 25% (trend p < 0.001) (Figure 2). Of those with MetS, 21% of such individuals had >20% Framingham calculated risk of CHD over 10 years (defined by ATP as a CHD “risk equivalent”; 25% had CAC scores at or above the 75th percentile (based on age and gender), and 41% had one or both characteristics (Figure 3).

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Figure 1

Prevalence of coronary artery calcium (CAC) by disease category and gender. Gray bars = neither condition; striped bars = metabolic syndrome (MetS); black bars = diabetes. p = 0.0002 for men and p = 0.02 for women for any CAC and p = 0.01 for men and p = 0.19 for women for CAC ≥75th percentile across groups (MetS, diabetes, and neither condition).

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Figure 2

Prevalence of coronary artery calcium (CAC) and significant CAC (≥75th percentile) by number of metabolic syndrome risk factors. Striped bars = present; black bars = CAC ≥75th percentile. p < 0.0001 for CAC present and p = 0.0002 for CAC ≥75th percentile for test of trend across number of metabolic risk factors for CAC present and for CAC ≥75th percentile.

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Figure 3

Proportion of persons identified with the metabolic syndrome classified by presence of >20% 10-year estimated risk of coronary heart disease (CHD) and significant coronary artery calcium (CAC) (≥75th percentile). Striped bar = CAC ≥75th percentile; gray bar = 10-year CHD risk >20%; black bar = either or both.

From logistic regression analyses, the odds ratio (OR) of CAC (compared with those with neither condition) was significantly higher among those with MetS (OR 1.45, 95% CI 1.09 to 1.94) or diabetes (OR 1.67, 95% CI 1.12 to 2.48). Additional adjustment for total cholesterol, lipid-lowering medication use, and cigarette smoking (risk factors not among those defining MetS) showed these relations to persist (OR 1.40, 95% CI 1.05 to 1.87 for MetS and OR 1.67, 95% CI 1.12 to 2.50 for diabetes) (Table le2). In predicting the presence of significant CAC (≥75th percentile), diabetes bore a stronger relation (OR 2.01, 95% CI 1.40 to 2.89), but findings regarding the likelihood of significant CAC in persons with MetS were attenuated (OR 1.29, 95% CI 0.95 to 1.75), with similar findings after additional adjustment for total cholesterol, lipid-lowering medication, and smoking (Table le2). In separate models where those on lipid-lowering medication who had neither MetS nor diabetes (but had two MetS risk factors) were censored, increased age-, gender-, and risk factor-adjusted odds for CAC in those with MetS (OR 1.7, 95% CI 1.3 to 2.3) and diabetes (OR 2.3, 95% CI 1.5 to 3.3) (as compared with those having neither condition) were observed. Analysis for predicting the presence of CAC at or above the 75th percentile similarly resulted in increased adjusted odds for CAC in those with MetS (OR 1.5, 95% CI 1.1 to 2.0) and diabetes (OR 2.5, 95% CI 1.7 to 3.6) (as compared to those with neither condition).

Table Grahic Jump Location
Table 2Multivariable Analysis of CAC and Disease Status

Our results suggest a high prevalence of subclinical coronary atherosclerosis, as evidenced by CAC, an aspect of atherosclerosis, among both men and women defined to have MetS. Several studies have documented an increased risk of CHD associated with CAC in subjects with multiple risk factors (811), although the magnitude of risk associated with a given level of calcium varies from study to study, and whether CAC predicts CHD events independent of carefully measured risk factors remains controversial. Moreover, the relation of CAC to clinical events in persons with MetS is unknown.

In our study, women with MetS have a prevalence of CAC as high as women with diabetes, despite age being similar (whereas the higher prevalence of coronary calcium among men with diabetes compared with those with MetS may be partially due to the greater age among those with diabetes). In addition, there was a graded association between the number of metabolic risk factors and coronary calcium. The increased likelihood and extent of CAC in persons with MetS, as compared with normal persons, is largely explained by cardiovascular risk factors that comprise the definition of MetS, namely HDL cholesterol, which is significantly lower among those with MetS. Although the odds of any calcium were significantly higher both in persons with MetS and those with diabetes, findings regarding the relation to significant calcium (75th percentile or greater) showed only diabetes to remain predictive in our primary, uncensored analyses (but MetS did remain modestly associated with significant CAC in censored analyses). This suggests that although earlier atherosclerosis is more common among both those with MetS and diabetes, more advanced atherosclerosis as evidenced by greater levels of coronary calcium is most apparent in those with diabetes.

Current estimates are that approximately 47 million adults in the United States would be defined to have the MetS on the basis of the most recent definition as recommended by NCEP-ATP III (1). Although such persons do have lower levels of HDL cholesterol and higher levels of total cholesterol and systolic blood pressure, traditional components of the Framingham risk equations, nontraditional Framingham risk factors such as BMI (or central obesity) and triglyceride levels are markedly higher in these individuals, and are similar to those who have clinical diabetes. In fact, in our study sample, we show levels of triglycerides and total cholesterol to be significantly higher, and HDL cholesterol significantly lower in those defined to have the MetS compared to diabetes.

Both the NCEP (1) and the American Diabetes Association (15) recommend aggressive risk factor management of persons with clinically defined diabetes on par with secondary prevention guidelines for cardiovascular disease management. This includes treatment of elevated LDL cholesterol, if present, to a goal of <100 mg/dl, and even more aggressive blood pressure goals to <130 mm Hg systolic and <80 mm Hg diastolic blood pressure. Moreover, those with a >20% 10-year Framingham estimated risk of CHD are considered CHD risk-equivalents warranting lipid treatment according to secondary prevention guidelines (1), and those with CAC scores ≥75th percentile have also been recommended for more aggressive treatment (14). Although these reports do not give specific goal levels for risk factors in persons with the MetS that are distinct from others with multiple risk factors, our report estimates approximately 20% of those with MetS have an estimated Framingham 10-year risk of CHD of >20%, 25% have coronary calcium levels in the highest quartile, and 41% have one or both characteristics. These findings suggest that screening results for subclinical disease (such as by coronary calcium detection) in patients with MetS may identify a substantial number of additional individuals for whom more aggressive risk factor intervention might be warranted.

Recently, the American Heart Association Prevention V conference (16) has suggested that persons at intermediate CHD risk based on known risk factors may be candidates for screening of CAC by computed tomography. An upcoming Bethesda Report from the American College of Cardiology due to be released in 2003 will provide further guidance into the appropriate use of noninvasive testing for atherosclerosis in asymptomatic persons, including specifically what constitutes sufficient CHD risk potentially warranting such testing. Considering that the NCEP (1) considers those at 10% to 20% estimated risk of CHD to be at intermediate risk, many persons with MetS would be suitable candidates for such noninvasive testing if this definition were to be adopted.

Study limitations

Given that our cohort is composed primarily of self-referred volunteers, it is possible our sample identified with MetS is not entirely representative of those in the general population. We report, however, a similar combined prevalence of MetS (15%) and diabetes (8%) (total 23%) to that been reported previously in U.S. adults (24%) (3).

As we utilized measures of BMI instead of waist circumference, which were not available, it is possible we may have misclassified some individuals that would have been classified differently based on waist circumference measures that constitute the accepted criterion for MetS (1). However, in a recently published report (11) among adults in the Third National Health and Nutrition Examination Survey showed the vast majority of individuals with a BMI ≥30 kg/m2 also had a high waist circumference as defined by NCEP criteria, lending support to our revised definition; moreover, 97% of those we identify with MetS (incorporating BMI instead of waist circumference) would have also been identified by the definition using waist circumference, and of those we do not identify with MetS, 96.5% would not have been identified by the NCEP definition (unpublished data). This high correspondence in definitions may be due to many individuals with either increased BMI or waist circumference having the same accompanying MetS risk factors such as elevated triglycerides, low HDL cholesterol, and increased blood pressures. This provides reasonable certainty as to the robustness of our definition. Also, other published definitions (2,45,17) vary more markedly from the NCEP definition, making comparability to the NCEP definition more difficult to establish.

Finally, because some individuals with neither MetS nor diabetes (especially those borderline for being defined as MetS—for example, with two but not three MetS risk factors) who were on lipid-lowering therapy might have been classified as having MetS if they were not on therapy, our uncensored analysis may have underestimated the relation of MetS or diabetes with CAC. Censoring these individuals does result in higher ORs (significant for both any CAC and for CAC ≥75th percentile) associated with MetS or diabetes. This suggests that if such misclassification were present among these individuals, accounting for this would have increased the strength of our associations. However, as these results are somewhat speculative, our uncensored analysis remains most conservative.

Conclusions

Our study demonstrates that individuals with MetS have a higher likelihood and prevalence of CAC than patients without MetS. Moreover, those with diabetes have an increased likelihood of having significant CAC. The presence of MetS indicates a moderately increased likelihood for subclinical disease. Although the extent of subclinical atherosclerosis (for example, with CAC as an aspect of atherosclerosis) may not be as significantly advanced as in persons with diabetes, the mere presence of such disease may be a potent motivator of lifestyle changes and improved compliance to risk-reducing medical therapy, as we have previously suggested (18). Further study in larger, prospective cohorts (including the Early Identification of Subclinical Atherosclerosis Using Noninvasive Research [EISNER] study currently being performed at Cedars-Sinai Medical Center) will provide further information on this issue. In addition, it will be important to determine whether individuals with MetS or diabetes, but who additionally have subclinical disease, may identify a subset at greater risk of future cardiovascular events. The ongoing National Institutes of Health Multiethnic Study of Atherosclerosis (MESA) (19) will provide further insight into these and other questions among high-risk individuals with multiple risk factors, including those with MetS and diabetes.

 Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA. 285 2001:2486-2497.
CrossRef | PubMed
Fagan  T.C., Deedwania  P.C.; The cardiovascular dysmetabolic syndrome. Am J Med. 105 (Suppl 1) 1998:77-82S.
CrossRef
Ford  E.S., Giles  W.H., Dietz  W.H.; Prevalence of the metabolic syndrome among U.S. adults. findings from the third National Health and Nutrition Examination Survey. JAMA. 287 2002:356-359.
CrossRef | PubMed
Isomaa  B., Almgren  P., Tuomi  T.; Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care. 24 2001:683-689.
CrossRef | PubMed
Lindblad  U., Langer  R.D., Wingard  D.L., Thomas  R.G., Barrett-Connor  E.L.; Metabolic syndrome and ischemic heart disease in elderly men and women. Am J Epidemiol. 153 2001:481-489.
CrossRef | PubMed
Olson  J.C., Edmundowicz  D., Becker  D.J., Kuller  L.H., Orchard  T.J.; Coronary calcium in adults with type 1 diabetes. a stronger correlate of clinical coronary artery disease in men than in women. Diabetes. 49 2000:1571-1578.
CrossRef | PubMed
Mielke  C.H., Shields  J.P., Broemeling  L.D.; Coronary artery calcium, coronary artery disease, and diabetes. Diabetes Res Clin Pract. 53 2001:55-61.
CrossRef | PubMed
Arad  Y., Spadaro  L.A., Goodman  K., Newstein  D., Guerci  A.D.; Prediction of coronary events with electron beam computed tomography. J Am Coll Cardiol. 36 2000:1253-1260.
CrossRef | PubMed
Detrano  R.C., Wong  N.D., Doherty  T.M.; Coronary calcium does not accurately predict near-term future coronary events in high-risk adults. Circulation. 99 1999:2633-2638.
CrossRef | PubMed
Wong  N.D., Hsu  J.C., Detrano  R.C., Diamond  G., Eisenberg  H., Gardin  J.M.; Coronary artery calcium evaluation by electron beam computed tomography and its relation to new cardiovascular events. Am J Cardiol. 86 2000:495-498.
CrossRef | PubMed
O’Malley  P.G., Taylor  A., Jackson  J.L., Detyrano  R.C.; The prognostic value of coronary electron beam computed tomography for myocardial infarction or cardiac death. a systematic review and meta-analysis. Am J Cardiol. 85 2000:945-948.
CrossRef | PubMed
Janssen  I., Katzmarzyk  P.T., Ross  R.; Body mass index, waist circum-ference, and health risk. Evidence in support of current National Institute of Health Guidelines. Arch Intern Med. 162 2002:2074-2079.
CrossRef | PubMed
Raggi  P., Callister  T.Q., Cooil  B.; Identification of patients at increased risk of first unheralded acute myocardial infarction by electron-beam computed tomography. Circulation. 101 2000:850-855.
CrossRef | PubMed
Full Report of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). National Heart Lung and Blood Institute. Available at: www.nhlbi.nih.gov/guidelines/cholesterol. Posted on November 19, 2002
American Diabetes Association. Treatment of hypertension in adults with diabetes. Diabetes Care 2002;24:S71–3
Greenland  P., Abrams  J., Aurigemma  G.P.; Prevention Conference Vbeyond secondary preventionidentifying the high-risk patient for primary prevention. noninvasive test of atherosclerotic burden. Writing Group III Circulation. 101 2000:E16-22.
CrossRef | PubMed
Han  T.S., Sattar  N., Williams  K., Gonzalez-Villalpando  C., Lean  M.E., Haffner  S.M.; Prospective study of C-reactive protein in relation to the development of diabetes and metabolic syndrome in the Mexico City Diabetes Study. Diabetes Care. 25 2002:2016-2021.
CrossRef | PubMed
Wong  N.D., Detrano  R.C., Diamond  G.; Does coronary artery screening by electron beam computed tomography motivate potentially beneficial lifestyle behaviors?. Am J Cardiol. 78 1996:1220-1223.
CrossRef | PubMed
Bild  D.E., Bluemke  D.A., Burke  G.L.; Multi-ethnic Study of Atherosclerosis. objectives and design. Am J Epidemiol. 156 2002:871-881.
CrossRef | PubMed

Figures

Grahic Jump Location
Figure 1

Prevalence of coronary artery calcium (CAC) by disease category and gender. Gray bars = neither condition; striped bars = metabolic syndrome (MetS); black bars = diabetes. p = 0.0002 for men and p = 0.02 for women for any CAC and p = 0.01 for men and p = 0.19 for women for CAC ≥75th percentile across groups (MetS, diabetes, and neither condition).

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Figure 2

Prevalence of coronary artery calcium (CAC) and significant CAC (≥75th percentile) by number of metabolic syndrome risk factors. Striped bars = present; black bars = CAC ≥75th percentile. p < 0.0001 for CAC present and p = 0.0002 for CAC ≥75th percentile for test of trend across number of metabolic risk factors for CAC present and for CAC ≥75th percentile.

Grahic Jump Location
Figure 3

Proportion of persons identified with the metabolic syndrome classified by presence of >20% 10-year estimated risk of coronary heart disease (CHD) and significant coronary artery calcium (CAC) (≥75th percentile). Striped bar = CAC ≥75th percentile; gray bar = 10-year CHD risk >20%; black bar = either or both.

Tables

Table Grahic Jump Location
Table 1Prevalence and Mean (SD) Levels of Baseline Characteristics by Presence of Metabolic Syndrome, Diabetes, or Neither Condition (n = 1,823)
Table Footer Note*Adjusted for age and gender.
Table Grahic Jump Location
Table 2Multivariable Analysis of CAC and Disease Status

Interactive Graphics

Video

References

 Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA. 285 2001:2486-2497.
CrossRef | PubMed
Fagan  T.C., Deedwania  P.C.; The cardiovascular dysmetabolic syndrome. Am J Med. 105 (Suppl 1) 1998:77-82S.
CrossRef
Ford  E.S., Giles  W.H., Dietz  W.H.; Prevalence of the metabolic syndrome among U.S. adults. findings from the third National Health and Nutrition Examination Survey. JAMA. 287 2002:356-359.
CrossRef | PubMed
Isomaa  B., Almgren  P., Tuomi  T.; Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care. 24 2001:683-689.
CrossRef | PubMed
Lindblad  U., Langer  R.D., Wingard  D.L., Thomas  R.G., Barrett-Connor  E.L.; Metabolic syndrome and ischemic heart disease in elderly men and women. Am J Epidemiol. 153 2001:481-489.
CrossRef | PubMed
Olson  J.C., Edmundowicz  D., Becker  D.J., Kuller  L.H., Orchard  T.J.; Coronary calcium in adults with type 1 diabetes. a stronger correlate of clinical coronary artery disease in men than in women. Diabetes. 49 2000:1571-1578.
CrossRef | PubMed
Mielke  C.H., Shields  J.P., Broemeling  L.D.; Coronary artery calcium, coronary artery disease, and diabetes. Diabetes Res Clin Pract. 53 2001:55-61.
CrossRef | PubMed
Arad  Y., Spadaro  L.A., Goodman  K., Newstein  D., Guerci  A.D.; Prediction of coronary events with electron beam computed tomography. J Am Coll Cardiol. 36 2000:1253-1260.
CrossRef | PubMed
Detrano  R.C., Wong  N.D., Doherty  T.M.; Coronary calcium does not accurately predict near-term future coronary events in high-risk adults. Circulation. 99 1999:2633-2638.
CrossRef | PubMed
Wong  N.D., Hsu  J.C., Detrano  R.C., Diamond  G., Eisenberg  H., Gardin  J.M.; Coronary artery calcium evaluation by electron beam computed tomography and its relation to new cardiovascular events. Am J Cardiol. 86 2000:495-498.
CrossRef | PubMed
O’Malley  P.G., Taylor  A., Jackson  J.L., Detyrano  R.C.; The prognostic value of coronary electron beam computed tomography for myocardial infarction or cardiac death. a systematic review and meta-analysis. Am J Cardiol. 85 2000:945-948.
CrossRef | PubMed
Janssen  I., Katzmarzyk  P.T., Ross  R.; Body mass index, waist circum-ference, and health risk. Evidence in support of current National Institute of Health Guidelines. Arch Intern Med. 162 2002:2074-2079.
CrossRef | PubMed
Raggi  P., Callister  T.Q., Cooil  B.; Identification of patients at increased risk of first unheralded acute myocardial infarction by electron-beam computed tomography. Circulation. 101 2000:850-855.
CrossRef | PubMed
Full Report of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). National Heart Lung and Blood Institute. Available at: www.nhlbi.nih.gov/guidelines/cholesterol. Posted on November 19, 2002
American Diabetes Association. Treatment of hypertension in adults with diabetes. Diabetes Care 2002;24:S71–3
Greenland  P., Abrams  J., Aurigemma  G.P.; Prevention Conference Vbeyond secondary preventionidentifying the high-risk patient for primary prevention. noninvasive test of atherosclerotic burden. Writing Group III Circulation. 101 2000:E16-22.
CrossRef | PubMed
Han  T.S., Sattar  N., Williams  K., Gonzalez-Villalpando  C., Lean  M.E., Haffner  S.M.; Prospective study of C-reactive protein in relation to the development of diabetes and metabolic syndrome in the Mexico City Diabetes Study. Diabetes Care. 25 2002:2016-2021.
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Wong  N.D., Detrano  R.C., Diamond  G.; Does coronary artery screening by electron beam computed tomography motivate potentially beneficial lifestyle behaviors?. Am J Cardiol. 78 1996:1220-1223.
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